Senior ML Engineer — Lead AI Platform at Scale (Hybrid/Remote)

Workday; Vancouver; Hybrid; CAD 228,000 - 413,000; Full time

Job summary

Workday is seeking a Senior Machine Learning Engineer for the AI Model Serving team. You will lead design decisions, drive platform performance, and scale ML model deployment across production workloads.

You’ll collaborate with ML engineers, data scientists, and software engineers to deliver reliable, scalable AI capabilities. You will shape the vision of a centralized AI serving platform powering Workday agents, with a focus on production-readiness, governance, and cost-aware optimization.

Qualifications

• 6+ years of related work experience in software development, with a focus on building and operating large-scale distributed systems.
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Kubernetes & GPU Infrastructure: Deep hands-on experience deploying and scaling workloads on Kubernetes, with a specific focus on GPU resource management.

Responsibilities

• Lead the team technically by making critical design decisions that drive performance, reliability, and scalability across the platform.
• Design, implement, and maintain large-scale systems that enable moving ML models to production.
• Write design documents to build consensus for new system components and enhancements to existing components.
• Evaluate and uptake new technologies made available within Workday and across the broader industry.
• Troubleshoot, improve, and scale continuous integration software pipelines.
• Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams.
• Respond to alerts and debug production issues to maintain platform health and reliability.
• Review pull requests and enforce consistency, performance, readability, and security across code bases.
• Develop documentation to share knowledge with other engineers.

Skills

Distributed systems

Python

LLMs & ML

Observability

Communication

Mentorship

Education

BS in CS/Engineering

Tools

Kubernetes

GPU infrastructure

vLLM

Autoscaling

Job description

Workday is seeking a Senior Machine Learning Engineer for the AI Model Serving team. You will lead design decisions, drive platform performance, and scale ML model deployment across production workloads.

You’ll collaborate with ML engineers, data scientists, and software engineers to deliver reliable, scalable AI capabilities. You will shape the vision of a centralized AI serving platform powering Workday agents, with a focus on production-readiness, governance, and cost-aware optimization.